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Read this white paper to discover four important steps to take to create an effective mobile strategy and learn how successful companies are making the most of the latest tools and processes.
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Application release and deploy in today's multi-platform enterprise can quickly become costly, chaotic, and error-prone. However, if you can centralize the management, configuration, and reuse of release and deployment processes, you can eliminate those issues for good.
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This case study looks at how Virgin Media developed a set of transparent, efficient, and unified software testing tools to speed development, and increase quality.
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Is it better to wait for users to request, or "pull," the content they need, or to "push" content updates when you think users need them? This resource weighs in on the "push vs. pull" design model debate, describing key advantages of the push model in the mobile space.
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Check out this exclusive resource to uncover a complete list of tips and tricks for virtual lab testing in a Hyper-V environment, so you can eliminate as many risks as possible.
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This paper describes the benchmark results of a leading server/storage configuration. Obtain detailed information on the unique configuration that was tested as well as the specific architectural components.
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For many enterprises, going mobile gets you upward mobility. With various options in today's consumer market, choosing a mobile platform is not always as simple as using your device on the go. Download this buyer's checklist for mobile application platforms to help you compare and contrast what's available today, across eight different categories.
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The following white paper profiles a scale-out, open source object-based storage software solution and the benefits it provides for businesses looking for a middle road when integrating data.
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Explore the following white paper to join analytics pioneer, Tom Davenport, as he reveals the findings of how big data fits into the data and analytics infrastructure of 20 large organizations. Find out how these companies are handling big data, the tools and skill sets used to maximize ROI, and what the future holds with analytics 3.0.
